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Battery Interface Ontology (BattINFO)
========================================================================================================================
Overview
--------
BattINFO is a foundational resource for harmonizing battery knowledge representation
and enhancing data interoperability. The primary objective is to provide the necessary tools
to create FAIR (Findable, Accessible, Interoperable, Reusable) battery data
that can be integrated into the Semantic Web.
:Domain: Materials Science and Engineering
:Category: Materials Science
:Current Version: None
:Last Updated: None
:Creator: None
:License: None
:Format: TTL
:Download: `Battery Interface Ontology (BattINFO) Homepage <https://github.com/BIG-MAP/BattINFO>`_
Graph Metrics
-------------
- **Total Nodes**: 27319
- **Total Edges**: 50787
- **Root Nodes**: 2855
- **Leaf Nodes**: 16852
Knowledge coverage
------------------
- Classes: 4431
- Individuals: 7
- Properties: 304
Hierarchical metrics
--------------------
- **Maximum Depth**: 27
- **Minimum Depth**: 0
- **Average Depth**: 2.09
- **Depth Variance**: 7.40
Breadth metrics
------------------
- **Maximum Breadth**: 10695
- **Minimum Breadth**: 7
- **Average Breadth**: 827.86
- **Breadth Variance**: 4644992.84
Dataset Statistics
------------------
Generated Benchmarks:
- **Term Types**: 10
- **Taxonomic Relations**: 195
- **Non-taxonomic Relations**: 2
- **Average Terms per Type**: 10.00
Usage Example
-------------
.. code-block:: python
from ontolearner.ontology import BattINFO
# Initialize and load ontology
ontology = BattINFO()
ontology.load("path/to/ontology.TTL")
# Extract datasets
data = ontology.extract()
# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations
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